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If there are no errors, the connection will be established and a message will be displayed as follows.Īfter that, we have closed our connection in the finally block.
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Then we have except block which in case of any exceptions, prints the error message. Inside the function, we have a try block where the connect() function is returning a connection object after establishing the connection. Print("Connection is established: Database is created in memory")įirst, the sqlite3 module is imported, then a function named sql_connection is defined.
Mydatabase home and business reviews code#
This database is called in-memory database.Ĭonsider the code below in which we have created a database with a try, except and finally blocks to handle any exceptions: import sqlite3 This database file is created on disk, we can also create a database in RAM by using :memory: with the connect function. When you create a connection with SQLite, a database file is automatically created if it doesn’t already exist. Now we can use the cursor object to call the execute() method to execute any SQL queries. To execute the SQLite3 statements, a connection is established at first and then an object of the cursor is created using the connection object as follows: con = nnect('mydatabase.db') The SQLite3 cursor is a method of the connection object. You can create it using the cursor() method. To execute SQLite statements in Python, you need a cursor object. To use SQLite3 in Python, first of all, you will have to import the sqlite3 module and then create a connection object which will connect us to the database and will let us execute the SQL statements.Ī connection object is created using the connect() function: import sqlite3Ī new file called ‘mydatabase.db’ will be created where our database will be stored. We will use SQLite version 3 or SQLite3, so let’s get started. SQLite is a lightweight database that can provide a relational database management system with zero-configuration because there is no need to configure or setup anything to use it.